The Master Program in Artificial Intelligence at Universitas Syiah Kuala proudly announces the opening of new student admissions for the Academic Year 2026/2027.
This program is designed to prepare future leaders, researchers, and professionals in the rapidly growing field of Artificial Intelligence. Through a comprehensive curriculum, students will gain advanced knowledge and practical skills in machine learning, data science, computer vision, natural language processing, intelligent systems, and other emerging AI technologies.
The Master Program in Artificial Intelligence offers an innovative learning environment supported by experienced lecturers, research opportunities, industry collaborations, and modern facilities. Students are encouraged to develop creative and impactful solutions that contribute to technological advancement and society.
Admission Requirements
- Applicants should have an undergraduate (Bachelor’s) degree in Informatics/Computer Science/ Statistics/Mathematics/Information Technology/Information Systems/Computer Engineering/ Electrical Engineering or other relevant undergraduate fields. Graduates of a Diploma 4 (D4) in Information & Computer Technology/Information Engineering are also eligible
- Applicants must come from institutions that are currently accredited at least B or have programs that are accredited at least B.
- Those with an unrelated undergraduate (Bachelor’s) background are also welcome to apply, provided they can successfully pass all stages of the new student admission process.
Curriculum
- Artificial Intelligence
- Data Management and Modelling
- Machine Learning
- Computer Vision
- Hci and Information Visualization
- Business Intelligence and Analysis
- Spatio-Temporal Data Analysis
- Computational Linguistics
- Social Network Analysis
Classes
- Classes are held on Fridays and Saturdays starting at 08:00 AM WIB at the Faculty of Mathematics and Natural Sciences at Universitas Syiah Kuala Building.
- Academic activities are conducted through various formats, including semester lectures, discussions, case studies, projects, practicums, and guidance related to research methodology and scientific publication.
More information at usk.ac.id